E-commerce Data Analyst: Insights & Dashboards (Hybrid)

Pt Lintas Indotama

Batam

Hybrid

IDR 111,600,000 - 178,560,000

Full time

10 days ago

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Job summary

Pt Lintas Indotama is seeking an E-commerce Data Analyst in Batam to transform sales and website data into actionable insights. You will collect, clean, and analyze datasets from multiple platforms, build dashboards, and contribute to marketing and product decisions.

The role requires 2+ years in data analysis, proficiency with SQL, Excel, Python/R, and Google Analytics, and a solid grasp of ecommerce KPIs.

Qualifications

  • 2+ years of experience in data analysis, preferably in ecommerce or digital marketing.
  • Proficient in SQL, Excel (advanced), Python or R, and Google Analytics.
  • Strong understanding of ecommerce metrics and KPIs.
  • Excellent analytical, quantitative, and problem-solving skills.
  • Ability to translate data into actionable insights and present to stakeholders.

Responsibilities

  • Collect, clean, and organize data from various e-commerce platforms and sources.
  • Analyze sales performance, customer demographics, website analytics, and marketing campaign effectiveness.
  • Develop and maintain dashboards and reports to visualize KPIs.
  • Identify trends, patterns, and insights within the data to inform strategic decisions.
  • Collaborate with marketing, sales, and product teams to understand their data needs.
  • Present findings and insights to stakeholders in a clear and concise manner.
  • Stay up-to-date with the latest data analysis techniques and e-commerce trends.

Skills

Analytical thinking
Problem solving
Communication
Presentation skills

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS

Tools

SQL
Excel (Advanced)
Python/R
Google Analytics

Job description

Pt Lintas Indotama is seeking an E-commerce Data Analyst in Batam to transform sales and website data into actionable insights. You will collect, clean, and analyze datasets from multiple platforms, build dashboards, and contribute to marketing and product decisions.

The role requires 2+ years in data analysis, proficiency with SQL, Excel, Python/R, and Google Analytics, and a solid grasp of ecommerce KPIs.

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